![]() ![]() In a survey with 14 children on their favourite ice-cream flavour, it was found that 4 children like butterscotch flavour, 5 children like chocolate flavour, 3 children like vanilla flavour and 2 children like strawberry flavour of ice-cream. Let us take an example to understand it better. On number line, we marked the value of each variable on the number line. In frequency table, values are represented through tally marks and frequency of each variable. " Can I count it?" Graphical Representation of Discrete Dataįollowing types of graph can be used for graphical representation of discrete data:īar graph is the most suitable way to represent discrete data, as finite values can be presented clearly through vertical or horizontal bars. Whenever you have to identify, whether a given data is discrete or not, just ask yourself a question:.Time taken by each player to finish the race ![]() Length of pages of books present in a bookshelf Some of the examples of discrete and continuous data are given in the table below: Discrete data Real numbers are used to used to write continuous data values. Whole numbers are used to write discrete data values. We cannot count but measure the values in a continuous data series. We can count the values in a discrete data series. Variables can take any value within a range. continuous data through the following table: Discrete Data Let us understand the difference between discrete data v/s. What Is the Difference Between Discrete and Continuous Data? Now, let us learn about the difference between discrete and continuous data in the next section. ![]() We can easily count the variables in a discrete data. For example, number of students in a class, number of players required in a team, etc. When values in a data set are countable and can only take certain values, it is called discrete data. Now, let us look at discrete data definition. Then it is organized, summarized, classified, and then represented graphically.ĭata can be divided into two categories- Qualitative data and Quantitative data.Īmong these two categories, quantitative data can be further classified into two types, discrete and continuous data. The word data came from the Latin word 'Datum' which means “something given”.Īfter a research question is developed, data is being collected continuously through observation. ![]()
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